Ollama 下载慢怎么办：模型路径修改与国内加速方法（2026）
Ollama 下载慢怎么办？先排查代理与断点续传，再用 OLLAMA_MODELS 改模型路径、从魔搭拉 GGUF，附三大系统步骤。
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Ollama 和 LM Studio 区别：与 llama.cpp 三选一，2026 年本地大模型工具怎么选
Ollama 和 LM Studio 区别，加上 llama.cpp：上手难度、界面、API 服务、可调程度与许可对比，附选择指南，以及如何在三者之间切换。
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How to Run an LLM Locally: Hardware You Need and How to Pick a Model (2026)
Want to run an LLM locally? Learn how much VRAM you need, which models fit 8GB to 48GB, and how to get your first model running with Ollama in five steps.
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How to Run LLMs on a Mac: How Much Unified Memory Do You Need?
How to run LLMs on a Mac: what 16GB to 128GB of unified memory can hold, usable GPU share, bandwidth by chip, and Mac vs GPU advice.
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How to Install Ollama on Windows, Mac and Linux: From Download to Your First Model
Install Ollama on Windows, macOS or Linux, verify it works, run your first model, move the model folder and fix common problems. Updated October 2026.
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Ollama Not Using GPU? How to Fix It on NVIDIA, AMD, Mac and Docker
Ollama not using GPU? Confirm with ollama ps, then check NVIDIA drivers, AMD ROCm, Vulkan, Mac and Docker, with the env vars and log paths to use.
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Open WebUI Ollama Setup: A Chat Interface for Your Local Models
Open WebUI Ollama setup with Docker or pip: create the admin account, connect to Ollama, download models and fix ‘can’t reach Ollama’ errors.
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Run Qwen Locally: Picking a Qwen3, 3.5, 3.6 or 3.8 Size
How to run Qwen locally: Ollama file sizes for Qwen3, 3.5, 3.6, 3.8, Coder and VL, a VRAM matching table, one-line commands and thinking-mode control.
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How to Run DeepSeek Locally: Distilled vs Full Model, Picked by VRAM
Run DeepSeek locally the right way: R1 distills vs the full model vs V4, which Ollama tag fits 8GB to 48GB of VRAM, and four commands to get started.
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DeepSeek 本地部署：蒸馏版与满血版的区别，按显存选版本
DeepSeek 本地部署怎么选？讲清 R1 蒸馏版与满血版、V4 的区别，按 8GB 到 48GB 显存给出 Ollama 版本对照，并附四步部署命令。
